Employer-sponsored mental health benefits with AI-powered provider matching
Lyra Health delivers workforce mental health benefits through a provider network and digital platform, with a hiring mix overwhelmingly weighted toward clinicians rather than engineers. Its data stack is mid-migration: Snowflake, dbt, Airflow and Tableau are coming in while SQL Server, Azure Data Factory, SSAS and Power BI are being phased out. A deep LLM toolchain (LangChain, LlamaIndex, Langfuse, OpenAI, Anthropic, AWS Bedrock) backs AI tooling for its Lyra Empower platform.
Lyra Health, founded in 2015 and headquartered in Burlingame, California, provides mental health benefits that employers offer to their workforces. Members are matched with mental health providers and well-being tools through a digital platform that uses AI-assisted matching. Programs span therapy, dialectical behavior therapy, and neuropsychological assessments for ADHD, autism and learning differences. The privately held company employs 1,001–5,000 people and hires across the United States, India, Mexico, the United Kingdom, the UAE, Malaysia, South Africa and Canada.
Lyra Health runs Python, Java, Kotlin, Spring, FastAPI and Celery on AWS with Docker, Kubernetes and Terraform, plus React and React Native frontends, and is adopting Snowflake, dbt, Airflow and Tableau.
Yes. Its stack includes OpenAI, Anthropic, AWS Bedrock, LangChain, LlamaIndex, Langfuse and RAG, supporting AI-powered tool development for the Lyra Empower platform.
Lyra Health hires in the United States, India, Mexico, the United Kingdom, the United Arab Emirates, Malaysia, South Africa and Canada, with hiring concentrated in clinical and healthcare roles.
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Lyra Health's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.